Configuración microespacial de la industria en la Ciudad de México a inicios del siglo xxi

Cruz, Fermín L.; Garza, Gustavo

doi:10.24201/edu.v29i1.1454

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…This northern area (mainly the municipality of Azcapotzalco and Gustavo A. Madero) is also characterised by having many industries and main roads (Air Quality in Mexico City 2014). This industrial character in the north is related to the availability of nearby facilities, new housing construction, and better quality infrastructure (Cruz and Garza 2014). Therefore, spatially targeted policies could be implemented, in this northern area, to reduce PM 10 pollution from the industries there.…”

Section: Discussionmentioning

confidence: 99%

Environmental Injustice in Mexico City: A Spatial Quantile Approach

2019

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The majority of studies on environmental justice show that groups with lower socioeconomic status are more likely to face higher levels of air pollution. Most of these studies have assumed simple, linear associations between pollution and deprived groups. However, empirical evidence suggests that health impacts are greater at high-pollution concentrations. In this paper, we investigate the associations of extreme levels of particulate matter up to 10 micrometres in size (PM 10) and ozone with deprived conditions, children and elderly people at sub-municipal level in Mexico City, using Áreas Geoestadisticas Básicas (AGEBs) as the unit of analysis. We used spatial quantile regression to analyse the association for each quantile of the range of pollution values, while also addressing spatial autocorrelation issues. Across AGEBs, higher levels of PM 10 are significantly positively associated with deprived economic conditions and elderly people. These results demonstrate clear variations in the associations between PM 10 and vulnerable groups across the ranges of these pollutants. Ozone levels are positively associated with higher numbers of children. The findings reflect differences in the source and degradation of these pollutants and provide important evidence for decision-makers addressing air pollution inequalities and injustice in Mexico City and other cities.

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Section: Discussionmentioning

confidence: 99%

Environmental Injustice in Mexico City: A Spatial Quantile Approach

2019

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“…By the year 2011, it was calculated that 15% of the MCMZ population (approximately 3 million people) lived in low-income social housing in the periphery of MCMZ (Jacquin, 2012). Despite this intense process of urban sprawl, most of the formal jobs in MCMZ remain concentrated in the central area of the metropolitan region (Aguilar and Hernández, 2012; Cruz and Garza, 2014; Garza, 2020; López-García, 2023; Montejano et al, 2016; Suárez and Delgado, 2009). Figure 1 shows job density in MCMZ in 2019, which confirms that formal jobs concentrate in the central and western areas of the metropolitan region.…”

Section: Research Context: Mobility Situations In Mcmzmentioning

confidence: 99%

Diverging mobility situations in Greater Mexico City: Exploring the factors behind the mobility situations of public transport commuters

López-García

2024

Urban Studies

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This article investigates the factors behind the likelihood of experiencing a specific type of mobility situation. The case of commuting by public transport in Greater Mexico City is analysed. A one-way ANOVA with post-hoc procedures and three multinomial logistic regression models are used to assess the extent to which transport-, land use- or socio-economic-related variables influence the likelihood of experiencing a specific mobility situation. The results show that the mobility situations of workers are primarily influenced by the socio-economic characteristics of commuters, followed by land-use patterns and the availability of transport systems, respectively. This means that in addition to transport-related policies, reducing commuting disparities in urban regions will require policies able to reduce socio-economic inequalities and influence the urban structure.

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“…Querétaro se vio favorecida por acciones como la construcción de parques industriales, de manera similar a lo que ocurría en ciudades de la frontera norte, como Tijuana o Ciudad Juárez, lo que incentivó la relocalización de empresas del interior del país y de diversas partes del mundo. En el caso de Querétaro, las empresas se trasladaron principalmente desde la Ciudad de México(Angoa et al, 2009;Cruz & Garza, 2014;Rendón Rojas et al, 2019).…”

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Dinámicas de la aglomeración de empresas de manufactura y de empresas de servicios intensivos en conocimiento (KIBS) en las zonas metropolitanas de Toluca y Querétaro, 2010-2020

Cabrera Pereyra,

Álvarez Lobato,

Garrocho

2024

Rev.econ.rosario

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Este artículo analiza la integración entre las empresas de servicios intensivos en conocimiento (KIBS) y la manufactura, partiendo de que esta genera alto crecimiento económico local y competitividad. Se utilizan técnicas espaciales de análisis de patrones de puntos. Se estudian dos zonas metropolitanas del centro de México, Toluca y Querétaro, ambas próximas a Ciudad de México, cuyo desarrollo industrial ha sido distinto. A pesar de sus diferencias, los resultados sugieren que los kibs se enlazan a la industria del transporte, motor de las exportaciones mexicanas y clave en la consolidación en lascadenas globales de valor.

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Configuración microespacial de la industria en la Ciudad de México a inicios del siglo xxi

Cited by 8 publications

References 19 publications

Environmental Injustice in Mexico City: A Spatial Quantile Approach

Environmental Injustice in Mexico City: A Spatial Quantile Approach

Diverging mobility situations in Greater Mexico City: Exploring the factors behind the mobility situations of public transport commuters

Dinámicas de la aglomeración de empresas de manufactura y de empresas de servicios intensivos en conocimiento (KIBS) en las zonas metropolitanas de Toluca y Querétaro, 2010-2020

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